Research on Risk Factors of Smart Community Construction Based on WSR-ISM
- DOI
- 10.2991/978-94-6463-447-1_3How to use a DOI?
- Keywords
- WSR methodology; smart communities; explanatory structural modeling; risk factors
- Abstract
To ensure the smooth progress of smart community construction, it is necessary to identify the risk factors of smart community construction and clarify the mechanism of interaction between the factors. Based on the WSR methodology, the risk factors of smart community construction are identified from the three dimensions of “physical-physical-human”, and based on 130 questionnaires, the multilevel correlation between the factors and the transmission paths between the levels is constructed by using the explanatory structure model. The results show that among the risk factors of smart community construction, the main ones are risk elements including demand risk, product testing program risk, collaboration risk, human resource risk, execution strength risk, technology effectiveness risk, target perception risk, power, and knowledge. Based on the results of the analysis, the smart community project construction puts forward suggestions to strengthen the control of each risk factor, prevent and control the risks at all levels, and increase the importance of risk factors, which ultimately promotes the construction of the smart community smoothly.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Liting Yang PY - 2024 DA - 2024/07/14 TI - Research on Risk Factors of Smart Community Construction Based on WSR-ISM BT - Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024) PB - Atlantis Press SP - 15 EP - 24 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-447-1_3 DO - 10.2991/978-94-6463-447-1_3 ID - Yang2024 ER -